Data: For experimentation, we use the Human Body Segmentation dataset introduced by [1]}, which contains 381 meshes for training and 18 for testing. Each mesh comes with a semantic segmentation label containing 8 classes. For contrastive learning, we utilize the entire training set without the segmentation labels. For downstream segmentation, we use varying quantities of samples.
